package com.warren.blog.testkafaka;

import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.apache.kafka.common.serialization.StringSerializer;

import java.util.Properties;
import java.util.concurrent.Future;

/**
 * @author warren
 * @data: 2022/3/29 10:30 PM
 * @decription:
 */
public class CustomProducerParameters {
    public static void main(String[] args) {
        //0 配置
        Properties properties = new Properties();
        //连接kafka集群
        properties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "192.168.1.9:9092");
        //序列化
        properties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
        properties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());

        //设置缓冲区大小
        properties.put(ProducerConfig.BUFFER_MEMORY_CONFIG, 33554432);

        //批次大小
        properties.put(ProducerConfig.BATCH_SIZE_CONFIG, 16384);

        //linger.ms

        properties.put(ProducerConfig.LINGER_MS_CONFIG, 1);
        //压缩
        properties.put(ProducerConfig.COMPRESSION_TYPE_CONFIG, "snappy");
        //幂等性
        properties.put(ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG, true);
        //开启事务必须要幂等性

        //创建生产者
        KafkaProducer<String, String> kafkaProducer = new KafkaProducer<>(properties);

        //发送数据
        for (int i = 0; i < 5; i++) {
            kafkaProducer.send(new ProducerRecord<>("test1", "warren" + i * 2));
        }

        //关闭资源
        kafkaProducer.close();
    }
}
